Update README.md

README.md

@@ -40,7 +40,7 @@ The dataset used is [frenchNER_4entities](https://huggingface.co/datasets/CATIE-
 | PER   | "La Bruyère", "Gaspard de Coligny", "Wittgenstein"         |
 | ORG   | "UTBM", "American Airlines", "id Software"                 |
 | LOC   | "République du Cap-Vert", "Créteil", "Bordeaux"            |
-| MISC  | "Wolfenstein 3D", "Révolution française", "Coupe du monde" |
+| MISC  | "Wolfenstein 3D", "Révolution française", "Coupe du monde de football" |
 
 The distribution of the entities is as follows:
 
@@ -639,7 +639,7 @@ For space reasons, we show only the F1 of the different models. You can see the
     </tr>
       <tr>
         <td rowspan="1"><br>NERmembert-large-4entities (this model)</td>
-        <td><br>0.987</td>
+        <td><br><b>0.987</b></td>
         <td><br>0.976</td>
         <td><br>0.948</td>
         <td><br><b>0.790</b></td>
@@ -780,7 +780,7 @@ For space reasons, we show only the F1 of the different models. You can see the
       <td><br>Precision</td>
         <td><br>0.976</td>
         <td><br>0.961</td>
-        <td><br>0.91</td>
+        <td><br>0.911</td>
         <td><br>0.829</td>
         <td><br>0.991</td>
         <td><br>0.983</td>
@@ -824,7 +824,7 @@ For space reasons, we show only the F1 of the different models. You can see the
     </tr>
     <tr>
         <td>F1</td>
-        <td><br>0.987</td>
+        <td><br><b>0.987</b></td>
         <td><br>0.976</td>
         <td><br>0.948</td>
         <td><br><b>0.790</b></td>